
Stable Diffusion [1]}: Stable Diffusion is a latent text-to-image diffusion model.
The available models are pre-trained on 512x512 images from a subset of the LAION-5B [2]} dataset.
CLIP's [3]} text encoder is used to condition the model on text prompts.

Latent Diffusion [1]}: Latent Diffusion is also a latent text-to-image diffusion model.
It is pre-trained on LAION-400M, a smaller dataset compared to LAION-5B.
It also takes advantage of CLIP's text encoder to guide the direction of fake images.

GLIDE [5]}: GLIDE is text-to-image diffusion model released by google.
The available GLIDE model is trained on a filtered version of a dataset comprised of several hundred million text-image pairs.
The online model is not good at understanding texts containing people because such images are removed from the train dataset for ethical issues.

DALLE2-PyTorch [6]}: DALLE2-PyTorch is an unofficial implementation of DALL-E 2.
It follows the DALL-E 2 paper's algorithm to use an extra layer of indirection with the prior network.
It is trained on a partial LAION dataset.

